PREDICTION OF CARCASS WEIGHT OF HOLSTEIN AND BROWN SWISS CATTLE GROWN IN A 12-MONTHS INTENSIVE BEEF PRODUCTION SYSTEM BY USING REAL-TIME CARCASS MEASUREMENTS

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dc.authoridMemmedova Mikail, Nazire/0000-0002-8996-9330
dc.contributor.authorBozkurt, Yalcin
dc.contributor.authorVarban, Stepan
dc.contributor.authorMikail, Nazire
dc.contributor.authorDogan, Cihan
dc.date.accessioned2024-12-24T19:33:17Z
dc.date.available2024-12-24T19:33:17Z
dc.date.issued2017
dc.departmentSiirt Üniversitesi
dc.description.abstractIn this study, it was aimed to evaluate the use of some morphometric carcass measurements to predict carcass weight of Holstein and Brown Swiss cattle grown in a 12-months intensive beef production system. Associations between carcass weights (CW) and some carcass measurements such as carcass heart girth (CHG), carcass length (CL) and carcass depth (CD) were examined for prediction ability, using the data with 134 observations for each traits. The linear, quadratic and cubic regression models were performed to predict CW for both breeds and since there were no statistically significant (P > 0.05) differences in carcass measurements between breeds. The data of these breeds were combined and found that CL and CHG would be the best possible traits in predicting CW (R-2 = 57.9 and 50.7% respectively) among the other measurements. The highest R-2 values were obtained from both the equation contained all carcass traits (R-2 = 65.5%) and the equation that included only CHG and CL (R-2 = 65.4%). All type of regressions showed that addition of quadratic and cubic terms contributed little benefit in predicting CW. Therefore, all linear terms of all carcass measurements were considered for analysis and they were significant (P. 0.05) and the R-2 value for other carcass measurement CD was approximately 20.8%. It can be concluded that in management situations where CW cannot be measured it can be predicted accurately by measuring CL and CHG alone and different models may be needed to predict CW in different feeding and environmental conditions and for other breeds.
dc.description.sponsorshipTUBITAK (The Scientific and Technological Research Council of Turkey); [111O269]; [114O778]
dc.description.sponsorshipThis study was presented here as parts of project numbers 111O269 and 114O778 and financially supported by TUBITAK (The Scientific and Technological Research Council of Turkey).
dc.identifier.endpage195
dc.identifier.issn2285-5750
dc.identifier.issn2393-2260
dc.identifier.startpage191
dc.identifier.urihttps://hdl.handle.net/20.500.12604/8061
dc.identifier.volume60
dc.identifier.wosWOS:000413674700031
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherUniv Agricultural Sciences & Veterinary Medicine Bucharest
dc.relation.ispartofScientific Papers-Series D-Animal Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectPrediction
dc.subjectCarcass weight
dc.subjectCarcass measurements
dc.subjectBrown Swiss and Holstein cattle
dc.subjectFeedlot
dc.titlePREDICTION OF CARCASS WEIGHT OF HOLSTEIN AND BROWN SWISS CATTLE GROWN IN A 12-MONTHS INTENSIVE BEEF PRODUCTION SYSTEM BY USING REAL-TIME CARCASS MEASUREMENTS
dc.typeArticle

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